Gear fault diagnosis research based on GAF-TFR-2DCV with small sample size

To solve the problem of insufficient precision of gear fault diagnosis with small sample size, an adaptive floating convolutional sequence pattern neural network recognition method based on the combination of simplified Gramian Angle field and time–frequency feature images is proposed. One-dimension...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Zhe Wang, Jiaxing Shen, Xingyuan Zhang, Yinghua Yu, Yan Wang, Hu Zhu, Lianglu Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-04-01
Serie:	Ain Shams Engineering Journal
Soggetti:	Gear fault diagnosis Gramian angle field Time-frequency diagram Convolutional Neural Networks Vision algorithms
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2090447925000851
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!